Compensating for literature annotation bias when predicting novel drug-disease relationships through Medical Subject Heading Over-representation Profile (MeSHOP) similarity
نویسندگان
چکیده
منابع مشابه
Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data
Drug-Drug Interactions (DDIs) are a major cause of preventable adverse drug reactions and a huge burden on public health and the healthcare system. On the other hand, there is a large amount of drug-related (open) data published on the Web, describing various properties of drugs and their relationships to other drugs, genes, diseases, and related concepts and entities. In this demonstration, we...
متن کاملMeSHDD: Literature-based drug-drug similarity for drug repositioning
Objective Drug repositioning is a promising methodology for reducing the cost and duration of the drug discovery pipeline. We sought to develop a computational repositioning method leveraging annotations in the literature, such as Medical Subject Heading (MeSH) terms. Methods We developed software to determine significantly co-occurring drug-MeSH term pairs and a method to estimate pair-wise ...
متن کاملTwo Similarity Metrics for Medical Subject Headings (MeSH):
In the present paper, we have created and characterized several similarity metrics for relating any two Medical Subject Headings (MeSH terms) to each other. The article-based metric measures the tendency of two MeSH terms to appear in the MEDLINE record of the same article. The author-based metric measures the tendency of two MeSH terms to appear in the body of articles written by the same indi...
متن کاملText-based over-representation analysis of microarray gene lists with annotation bias
A major challenge in microarray data analysis is the functional interpretation of gene lists. A common approach to address this is over-representation analysis (ORA), which uses the hypergeometric test (or its variants) to evaluate whether a particular functionally defined group of genes is represented more than expected by chance within a gene list. Existing applications of ORA have been large...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Medical Genomics
سال: 2013
ISSN: 1755-8794
DOI: 10.1186/1755-8794-6-s2-s3